期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷 31, 期 10, 页码 4130-4142出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2019.2952249
关键词
Complex networks; mixed H-2/H-infinity performance; random coupling strengths; redundant channels; state estimation; stochastic stability with probability 1
类别
资金
- National Natural Science Foundation of China [U1509205, 61973102, 61873148, 61933007, 61573316, 61873082]
- Zhejiang Provincial Natural Science Foundation of China [LR16F030003]
- Research Fund for the Taishan Scholar Project of Shandong Province of China
- China Postdoctoral Science Foundation [2019TQ0202]
- Shanghai Pujiang Program of China [19PJ1408100]
- Royal Society
- Alexander von Humboldt Foundation of Germany
This article investigates the mixed H-2/H-infinity state estimation problem for a class of discrete-time switched complex networks with random coupling strengths through redundant communication channels. A sequence of random variables satisfying certain probability distributions is employed to describe the stochasticity of the coupling strengths. A redundant-channel-based data transmission mechanism is adopted to enhance the reliability of the transmission channel from the sensor to the estimator. The purpose of the addressed problem is to design a state estimator for each node, such that the error dynamics achieves both the stochastic stability (with probability 1) and the prespecified mixed H-2/H-infinity performance requirement. By using the switched system theory, an extensive stochastic analysis is carried out to derive the sufficient conditions ensuring the stochastic stability as well as the mixed H-2/H-infinity performance index. The desired state estimator is also parameterized by resorting to the solutions to certain convex optimization problems. A numerical example is provided to illustrate the validity of the proposed estimation scheme.
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